Adaptive Subgradient Methods for Online Learning and ...
Keywords: subgradient methods, adaptivity, online learning, stochastic convex optimization 1. Introduction In many applications of online and stochastic learning, the input instances are of very high di-mension, yet within any particular instance only a …
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Stacked Denoising Autoencoders: Learning Useful ...
www.jmlr.orgthus bridging the performance gap with deep belief networks (DBN), and in several cases surpass-ing it. Higher level representations learnt in this purely unsupervised fashion also help boost the performance of subsequent SVM classifiers. Qualitative exp eriments show that, contrary to ordi-
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www.jmlr.orgDeep Learning has enabled remarkable progress over the last years on a variety of tasks, such as image recognition, speech recognition, and machine translation. One crucial aspect ... operations like depthwise separable convolutions (Chollet, 2016) or dilated convolutions (Yu
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